## MATH STATS 465/565:

Applied Statistics

Fall 2007

Instructor: KARIN REINHOLD

Office Hrs: MWF 12:30-1:30 or by appointment or by e-mail
TEXT:

*Applied Linear Regression Models*, Kutner, Nachtsheim,
Neter, Ed: McGrawHill

**Course Description:**

In this course provides an introduction to the theory, methods and practice
of regression analysis and time series. The goals are (a) to understand
basic regression designs, (b) design and carry out studies that use
regression techniques and basic time series techniques, (c) prepare to learn
more about more advanced statistical procedures, (d) read and understand
professional literature that uses regression analysis.

The course assumes a working knowledge of elementary statistical concepts
and techniques.

The focus of the course is the study of simple and multiple
linear regression models. We will also
look at non--linear
models: logistic regression and Poisson regression. We will also study basic
time series models.

We will have four exams each worth 20% of your grade. In order to pass the
course, you need to obtain an average of 50% or more and not obtain grades
below 30%. I will also assign projects worth 20% of your grade.

As a requisite, you need to become familiar with WebCT and a computer based
statistical package. I'll be using Maple Student Edition, but you can use or
free distribution packages.

EXAM DATES:

EXAM 1: Sept 17 Simple Linear Regression

EXAM 2: Oct 12 Multiple Regression

EXAM 3: Nov 5 Non--Linear Models

EXAM 4: Dec 7 Time--Series